eta: Extracts the natural parameters from an estimated 'mlergm'...

In mlergm: Multilevel Exponential-Family Random Graph Models

Extracts the natural parameters from an estimated mlergm model. When the model is a canonical exponential family, this is the the identity mapping from the parameter vector. However, when the model is a curved exponential family this returns the resulting canonical parameters of the curved exponential family.

Description

Extracts the natural parameters from an estimated mlergm model. When the model is a canonical exponential family, this is the the identity mapping from the parameter vector. However, when the model is a curved exponential family this returns the resulting canonical parameters of the curved exponential family.

Usage

eta(object, block = NULL)

Arguments

object	An object of class mlergm, probably produced by mlergm.
block	Block identifier which should be an element of node_memb in the network.

References

Hunter, D. R., and Handcock, M. S. (2006). Inference in curved exponential family models for networks. Journal of Computational and Graphical Statistics, 15(3), 565-583.

mlergm documentation built on June 8, 2025, 9:41 p.m.